134 research outputs found

    Isolated Hepatic Splenosis: First Reported Case

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    Splenosis is the autotransplantation of splenic tissue, most commonly seen after traumatic splenic rupture and splenectomy. Post-traumatic splenosis is often considered a rare entity, but is probably underreported because of its asymptomatic nature. We describe the first reported case of splenosis presenting as a liver mass, indistinguishable from a liver tumor by standard preoperative evaluation. The pathophysiology, evaluation and management of splenosis is discussed as well as the decision to resect a benign appearing liver mass

    MicroRNA-203 predicts human survival after resection of colorectal liver metastasis.

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    BackgroundResection of colorectal liver metastasis (CRLM) can be curative. Predicting which patients may benefit from resection, however, remains challenging. Some microRNAs (miRNAs) become deregulated in cancers and contribute to cancer progression. We hypothesized that miRNA expression can serve as a prognostic marker of survival after CRLM resection.ResultsMiR-203 was significantly overexpressed in tumors of short-term survivors compared to long-term survivors. R1/R2 margin status and high clinical risk score (CRS) were also significantly associated with short-term survival (both p = 0.001). After adjusting for these variables, higher miR-203 expression remained an independent predictor of shorter survival (p = 0.010). In the serum cohort, high CRS and KRAS mutation were significantly associated with short-term survival (p = 0.005 and p = 0.026, respectively). After adjusting for CRS and KRAS status, short-term survivors were found to have significantly higher miR-203 levels (p = 0.016 and p = 0.033, respectively).Materials and methodsWe employed next-generation sequencing of small-RNAs to profile miRNAs in solid tumors obtained from 38 patients who underwent hepatectomy for CRLM. To validate, quantitative reverse-transcription polymerase chain reaction (qRT-PCR) was performed on 91 tumor samples and 46 preoperative serum samples.ConclusionsAfter CRLM resection, short-term survivors exhibited significantly higher miR-203 levels relative to long-term survivors. MiR-203 may serve as a prognostic biomarker and its prognostic capacity warrants further investigation

    Prognostic significance of early recurrence: a conditional survival analysis in patients with resected colorectal liver metastasis

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    AbstractBackgroundFor patients undergoing liver resection for colorectal metastases, specific clinico‐pathological variables have been shown to be prognostic at baseline. This study analyses how the prognostic capability of these variables changes in a conditional survival model.MethodsRetrospective review of a prospectively maintained database of patients who underwent an R0 resection of colorectal liver metastases from 1994 to 2004 at a single institution.ResultsIn total, 807 patients were identified, with an 87‐month median follow‐up for survivors. Five‐ and 10‐year disease‐specific survivals (DSS) were 68% and 55%, respectively. The probability of further survival increased as the survival time increased. For 3‐year survivors (n = 504), DSS were no longer significantly different between patients with a low (0–2) or high (3–5) clinical risk score (CRS, P = 0.19). On multivariate analysis, independent predictors of DSS for 3‐year survivors were recurrence within the first 3 years after a liver resection, a pre‐operative carcinoembryonic antigen (CEA) >200 ng/ml and disease‐free interval <12 months prior to the diagnosis of liver metastasis. However, for those patients who were recurrence free at 1 year, no clinico‐pathological variables retained prognostic significance.DiscussionAfter 3 years of DSS and 1 year of recurrence‐free survival, baseline clinico‐pathological variables have a limited ability to predict future survival. Early post‐operative recurrence appears to be the most useful single clinical feature in estimating conditional DSS

    Spatial mapping of the collagen distribution in human and mouse tissues by force volume atomic force microscopy

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    Changes in the elastic properties of living tissues during normal development and in pathological processes are often due to modifications of the collagen component of the extracellular matrix at various length scales. Force volume AFM can precisely capture the mechanical properties of biological samples with force sensitivity and spatial resolution. The integration of AFM data with data of the molecular composition contributes to understanding the interplay between tissue biochemistry, organization and function. The detection of micrometer-size, heterogeneous domains at different elastic moduli in tissue sections by AFM has remained elusive so far, due to the lack of correlations with histological, optical and biochemical assessments. In this work, force volume AFM is used to identify collagen-enriched domains, naturally present in human and mouse tissues, by their elastic modulus. Collagen identification is obtained in a robust way and affordable timescales, through an optimal design of the sample preparation method and AFM parameters for faster scan with micrometer resolution. The choice of a separate reference sample stained for collagen allows correlating elastic modulus with collagen amount and position with high statistical significance. The proposed preparation method ensures safe handling of the tissue sections guarantees the preservation of their micromechanical characteristics over time and makes it much easier to perform correlation experiments with different biomarkers independently

    Registry‐based randomized clinical trials in surgery: Working with ACS‐NSQIP and the AHPBA to conduct pragmatic trials

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    Randomized controlled trials (RCTs) represent the gold standard for evidence in clinical medicine because of their ability to account for the effects of unmeasured confounders and selection bias by indication. However, their complexity and immense costs limit their application, and thus the availability of high-quality data to guide clinical care. Registry-based RCTs are a type of pragmatic trial that leverages existing registries as a platform for data collection, providing a low-cost alternative for randomized studies. Herein, we describe the tenets of registry RCTs and the development of the first AHPBA/ACS-NSQIP-based registry trial
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